SOTAVerified

Cross-Lingual Transfer

Cross-lingual transfer refers to transfer learning using data and models available for one language for which ample such resources are available (e.g., English) to solve tasks in another, commonly more low-resource, language.

Papers

Showing 711720 of 782 papers

TitleStatusHype
Training Cross-Lingual embeddings for Setswana and SepediCode0
When Does Classical Chinese Help? Quantifying Cross-Lingual Transfer in Hanja and KanbunCode0
Cross-lingual Transfer Learning for Fake News Detector in a Low-Resource LanguageCode0
Meta-X_NLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and GenerationCode0
Analysing The Impact Of Linguistic Features On Cross-Lingual TransferCode0
Cross-Lingual Transfer in Zero-Shot Cross-Language Entity LinkingCode0
MICE: Mining Idioms with Contextual EmbeddingsCode0
Cross-lingual Transfer for Speech Processing using Acoustic Language SimilarityCode0
Cross-Lingual Text Classification of Transliterated Hindi and MalayalamCode0
TRAM: Bridging Trust Regions and Sharpness Aware MinimizationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot)Accuracy94.4Unverified
2mT0-13BAccuracy84.45Unverified
3RoBERTa Large (translate test)Accuracy76.05Unverified
4BLOOMZAccuracy75.5Unverified
5MAD-X BaseAccuracy60.94Unverified
6mGPTAccuracy55.5Unverified